scholarly journals A new approach for product quality prediction of complex equipment by grey system theory: A case study of cutting tools for CNC machine tool

2019 ◽  
Vol 14 (4) ◽  
pp. 461-471
Author(s):  
J.H. Pang ◽  
H. Zhao ◽  
F.F. Qin ◽  
X.B. Xue ◽  
K.Y. Yuan
Keyword(s):  
System Theory ◽  
Cutting Tools ◽  
Grey System Theory ◽  
Quality Prediction ◽  
Cnc Machine Tool ◽  
Cnc Machine ◽  
Grey System ◽  
New Approach ◽  
Complex Equipment

scholarly journals A New Approach to Performance Analysis of Disinfection Using Grey System Theory

2012 ◽  
Vol 33 ◽  
pp. 162-166 ◽  
Author(s):  
Rongguang Li ◽  
Wenjie He ◽  
Hongda Han ◽  
Wei Wu ◽  
Xianxian Meng
Keyword(s):  
System Theory ◽  
Performance Analysis ◽  
Grey System Theory ◽  
Grey System ◽  
New Approach

scholarly journals Predicting Renovation Waste Generation Based on Grey System Theory: A Case Study of Shenzhen

2019 ◽  
Vol 11 (16) ◽  
pp. 4326 ◽  
Author(s):  
Zhikun Ding ◽  
Mengjie Shi ◽  
Chen Lu ◽  
Zezhou Wu ◽  
Dan Chong ◽  
...  
Keyword(s):  
System Theory ◽  
Rapid Development ◽  
Grey System Theory ◽  
Sustainable Urban Development ◽  
Vacancy Rate ◽  
Waste Generation ◽  
Grey System ◽  
Management Framework ◽  
Research Findings

With the rapid development of urbanization, more and more people are willing to improve their living conditions, thus substantial attention has been paid to residential renovation in China. As a result, large quantities of renovation waste are generated annually which seriously challenge sustainable urban development. To effectively manage renovation waste, accurate prediction of waste generation rates is a prerequisite. However, in the literature, few attempts have been made for predicting renovation waste as renovation activities vary significantly in different cases. This study offers an approach to estimate the amount of renovation waste based on the vacancy rate and renovation waste generation rates at a city level. The grey system theory was applied to predict the amount of renovation waste in Shenzhen. Results showed that the amount of renovation waste would reach 135,620 tons in 2023. The research findings can provide supportive information to relevant stakeholders for developing a renovation waste management framework.

Prediction of Technical Reserves Based on Grey Model — GM(1,1): Evidence from Non-life Egyptian Insurance Market

2019 ◽  
Vol 10 (9) ◽  
pp. 852-860
Author(s):  
Mahmoud Elsayed ◽  
◽  
Amr Soliman ◽  
Keyword(s):  
System Theory ◽  
Grey System Theory ◽  
Insurance Market ◽  
Grey Model ◽  
Loss Ratio ◽  
Grey System ◽  
Mathematical Technique ◽  
Supervisory Authority ◽  
Error Ratio ◽  
Using Data

Grey system theory is a mathematical technique used to predict data with known and unknown characteristics. The aim of our research is to forecast the future amount of technical reserves (outstanding claims reserve, loss ratio fluctuations reserve and unearned premiums reserve) up to 2029/2030. This study applies the Grey Model GM(1,1) using data obtained from the Egyptian Financial Supervisory Authority (EFSA) over the period from 2005/2006 to 2015/2016 for non-life Egyptian insurance market. We found that the predicted amounts of outstanding claims reserve and loss ratio fluctuations reserve are highly significant than the unearned premiums reserve according to the value of Posterior Error Ratio (PER).

scholarly journals Utilizing an Adaptive Grey Model for Short-Term Time Series Forecasting: A Case Study of Wafer-Level Packaging

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Che-Jung Chang ◽  
Der-Chiang Li ◽  
Wen-Li Dai ◽  
Chien-Chih Chen
Keyword(s):  
Semiconductor Manufacturing ◽  
Manufacturing System ◽  
Grey System Theory ◽  
Grey Model ◽  
Grey System ◽  
Wafer Level ◽  
Short Term ◽  
Packaging Process ◽  
Wafer Level Packaging

The wafer-level packaging process is an important technology used in semiconductor manufacturing, and how to effectively control this manufacturing system is thus an important issue for packaging firms. One way to aid in this process is to use a forecasting tool. However, the number of observations collected in the early stages of this process is usually too few to use with traditional forecasting techniques, and thus inaccurate results are obtained. One potential solution to this problem is the use of grey system theory, with its feature of small dataset modeling. This study thus uses the AGM(1,1) grey model to solve the problem of forecasting in the pilot run stage of the packaging process. The experimental results show that the grey approach is an appropriate and effective forecasting tool for use with small datasets and that it can be applied to improve the wafer-level packaging process.

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